A computational statistics approach for estimating the spatial range of morphogen gradients

Development. 2011 Nov;138(22):4867-74. doi: 10.1242/dev.071571. Epub 2011 Oct 17.

Abstract

A crucial issue in studies of morphogen gradients relates to their range: the distance over which they can act as direct regulators of cell signaling, gene expression and cell differentiation. To address this, we present a straightforward statistical framework that can be used in multiple developmental systems. We illustrate the developed approach by providing a point estimate and confidence interval for the spatial range of the graded distribution of nuclear Dorsal, a transcription factor that controls the dorsoventral pattern of the Drosophila embryo.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Biostatistics / methods*
  • Cleavage Stage, Ovum / metabolism
  • Computational Biology* / methods
  • Computational Biology* / statistics & numerical data
  • Computer Simulation
  • Drosophila / embryology*
  • Drosophila / genetics
  • Drosophila / metabolism*
  • Drosophila Proteins / analysis
  • Drosophila Proteins / genetics
  • Drosophila Proteins / metabolism*
  • Embryo, Nonmammalian / chemistry
  • Embryo, Nonmammalian / metabolism
  • Gene Expression Regulation, Developmental
  • Genes, Developmental* / physiology
  • Imaging, Three-Dimensional
  • In Situ Hybridization, Fluorescence
  • Morphogenesis / genetics*
  • Morphogenesis / physiology
  • Osmolar Concentration
  • Tissue Distribution / genetics

Substances

  • Drosophila Proteins